FUZZY CONTROLLER DESIGN FOR DC MOTOR USING ANT COLONY OPTIMIZATION ALGORITHM | ||||
| JES. Journal of Engineering Sciences | ||||
| Article 18, Volume 40, No 3, May and June 2012, Page 899-911 PDF (163.6 K) | ||||
| Document Type: Research Paper | ||||
| DOI: 10.21608/jesaun.2012.114419 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Mohammad El-Bardini; Mohamed Fkirin; Sameh Abd-Elhaleem | ||||
| Faculty of Electronic Engineering, Menouf, 32852, Egypt | ||||
| Abstract | ||||
| This paper presents fuzzy controller design using ant colony optimization algorithm (ACO-FC). The objective of ACO-FC is to improve the control performance and design ease of fuzzy controller. In ACO-FC, the antecedent part (IF part) of a fuzzy system is flexibly partitioned in grid type, and the consequent part (THEN part) of each rule is selected by the ants where the route of an ant is regarded as combination of consequent actions selected from every rule. Searching for the best one among all consequence combinations is based mainly on the pheromone matrix among all candidate actions. To verify the control performance of ACO-FC, simulations on position control of a DC motor are performed. Comparison with PID like fuzzy controller demonstrates the advantages of ACO-FC. | ||||
| Keywords | ||||
| Ant colony optimization (ACO); fuzzy controller design; position control | ||||
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